Mechatronics Engineer, Robotics (Mechanical)

At Reality Labs Research our goal is to develop the next generation of hardware systems. We are looking for a Principal Mechatronics Engineer whose technical specialty is mechanical systems to lead the system architecture, detailed design, integration, and measured characterization of complex robotic hardware.

• Bachelor's degree in Mechanical Engineering, Mechatronics, Robotics, or a related field, or equivalent practical experience 12+ years of experience developing complex mechanical, robotic, or electromechanical systems, including setting technical direction across multiple teams or programs from architecture through hardware validation
• Experience owning a dynamic hardware system through architecture, detailed design, build, integration, test, and design iteration
• Expertise in 3D CAD, load paths, structures, joints, bearings, fits, tolerance analysis, materials, manufacturing processes, released drawings, and assembly
• Experience applying kinematics, statics, dynamics, structural analysis, and first-principles calculations to mechanisms, transmissions, and actuator sizing
• Experience integrating motors, transmissions, position or force sensors, wiring, and electronics into compact mechanisms
• Working knowledge of feedback-controlled systems, sensors, timing, and operating limits, with experience characterizing dynamic hardware well enough to make sound mechanical decisions and debug integrated systems
• Experience integrating tactile, force/torque, position, current, temperature, or other sensing into tightly packaged mechanisms
• Experience designing for rapid research iteration, manufacturability, serviceability, and repeatable assembly
• Experience designing flex and harness routing, calibration features, and durable sensor integration
• Experience using Python, MATLAB/Simulink, or equivalent tools for modeling and experimental analysis
• Experience correlating multibody, structural, or simplified dynamic models with physical measurements
• Experience identifying inertia, friction, compliance, backlash, resonance, or temperature-dependent behavior from test data